深圳近岸海域水质遥感监测及时空变化

黎栩霞; 王裕东; 肖佑鹏; 徐旭; 王海鹏; 陈伊梦; 林俊川; 黄桂松; 黄振国; 孙萍; 麦有全; 杨尚波; 许旺

doi:10.13205/j.hjgc.202401031

深圳近岸海域水质遥感监测及时空变化

doi: 10.13205/j.hjgc.202401031

1. 广东省深圳生态环境监测中心站, 广东深圳 518000;
2. 南方科技大学, 广东深圳 518000

基金项目:

可持续发展科技专项(双碳专项)(KCXST20221021111404011)

详细信息

作者简介:
黎栩霞(1989-),女,工程师,研究方向为生态环境监测。376358710@qq.com

通讯作者:
许旺(1982-),男,博士研究生,副高级工程师,研究方向为生态环境监测调查。495081498@qq.com

计量
- 文章访问数: 179
- HTML全文浏览量: 17
- PDF下载量: 6
- 被引次数: 0
出版历程
- 收稿日期: 2023-11-14
- 网络出版日期: 2024-04-29

QUALITY MONITORING OF SHENZHEN’S COASTAL WATERS BY SATELLITE AND ITS SPATIOTEMPORAL VARIATION

1. Shenzhen Ecological and Environmental Monitoring Center of Guangdong Province, Shenzhen 518000, China;
2. Southern University of Science and Technology, Shenzhen 518000, China

摘要

摘要: 近年来,近岸海域富营养化与赤潮暴发问题日益突显,对粤港澳大湾区核心城市深圳的可持续发展构成重要挑战。为有效解决这一问题,了解深圳近岸海域水质和赤潮暴发事件的时空动态变化至关重要。利用MODIS卫星传感器数据,建立了水质遥感反演和赤潮自动化提取模型,首次揭示了深圳海域水质关键参数与赤潮暴发的时空格局,并分析了主要驱动因素。研究结果显示,深圳市辖海域赤潮年均影响范围为300.50 km²,年均暴发频次为2.38次。2015—2022年,赤潮暴发覆盖面积每年增长约为6.7%。珠江口和深圳湾海域的悬浮泥沙浓度和叶绿素a浓度高于大鹏湾和大亚湾,并呈增长趋势。尽管珠江口东部海域富营养化程度高,赤潮暴发频次却较低,主要受河口悬浮泥沙的影响。而水质较好的大鹏湾和大亚湾赤潮暴发频次较高,且呈逐年上升趋势,这可能与氮磷比的变化有关。南澳、葵涌与坝光海域的氮磷比含量需重点关注,并对其陆域片区的面源污染源进行综合评估,研究结果可为稳步推进深圳及其周边海域环境治理修复和考核管理提供重要基准信息。
- 深圳近岸海域 /
- 水质参数 /
- 赤潮 /
- 时空变化 /
- MODIS
Abstract: In recent years, coastal eutrophication and the resulting red tide occurrences have emerged as pressing environmental concerns, posing significant challenges to the sustainable development of Shenzhen, a key city in the China Great Bay Area. Addressing this issue effectively hinges upon a comprehensive understanding of the spatiotemporal dynamics of water quality and red tide outbreaks in Shenzhen's coastal regions. This study utilized the data from the Moderate Resolution Imaging Spectroradiometer(MODIS) to establish models for remote sensing inversion of water quality parameters and automated extraction of red tide occurrences. It has unveiled, for the first time, the spatiotemporal patterns linking key water quality parameters in Shenzhen's coastal waters with red tide outbreaks and analyzed the primary driving factors. Our findings revealed an average annual affected area of red tide occurrence spanning approximately 300.50 km² within Shenzhen's jurisdictional waters, occurring on average 2.38 times annually. Between 2015 and 2022, the annual growth rate of red tide outbreak coverage was approximately 6.7%. Suspended sediment and chlorophyll-a concentrations in the Pearl River Estuary and Shenzhen Bay surpassed those in Dapeng Bay and Daya Bay, exhibiting an increasing trend. Despite the high eutrophication level in the eastern part of the Pearl River Estuary, the frequency of red tide outbreaks remained relatively low, primarily influenced by estuarine suspended sediments. In contrast, regions with superior water quality, such as Dapeng Bay and Daya Bay, experienced higher red tide frequencies that exhibited an annual increasing trend, potentially linking to the variation in nitrogen-phosphorus ratios. The study underscored the imperative need to target nitrogen-phosphorus ratios in the Nan'ao, Kuichong, and Baguang areas and undertook a comprehensive assessment of non-point pollution sources in their terrestrial zones. This information can serve as baseline information crucial for continuously advancing environmental governance, restoration efforts, and management evaluations concerning Shenzhen and its surrounding maritime areas.
- Shenzhen nearshore waters /
- water quality parameter /
- red tide /
- temporal and spatial changes /
- MODIS

HTML全文

参考文献(21)

[1]	马方方,冷科明,周秋伶,等.近40年深圳大鹏湾海域赤潮发生规律及其演变机制分析[J].海洋环境科学,2021,40(2):263-271.
[2]	WANG J,TONG Y,FENG L,et al.Satellite-observed decreases in water turbidity in the pearl river estuary:potential linkage with sea-level rise[J].Journal of Geophysical Research:Oceans,2021,126(4):1-17.
[3]	TONG Y,FENG L,ZHAO D,et al.Remote sensing of chlorophyll-a concentrations in coastal oceans of the Greater Bay Area in China:algorithm development and long-term changes[J].International Journal of Applied Earth Observation and Geoinformation,2022,112:102922.
[4]	但雨生,周忠发,李韶慧,等.基于Sentinel-2的平寨水库叶绿素a浓度反演[J].环境工程,2020,38(3):180-185 ,127.
[5]	HU C M,MULLERKARGER F E,TAYLOR C,et al.Red tide detection and tracing using MODIS fluorescence data:a regional example in SW Florida coastal waters[J].Remote Sensing of Environment,2005,97(3):311-321.
[6]	LIU R J,XIAO Y F,MA Y,et al.Red tide detection based on high spatial resolution broad band optical satellite data[J].ISPRS Journal of Photogrammetry and Remote Sensing,2022,184:131-147.
[7]	WEI J W,LEE Z P,and SHANG S L,A system to measure the data quality of spectral remote sensing reflectance of aquatic environments[J].Journal of Geophysical Research:Oceans,2016,121:8189-8207.
[8]	HU C M.A novel ocean color index to detect floating algae in the global oceans[J].Remote Sensing of Environment,2009,113(10):2118-2129.
[9]	DAI Y H,YANG S B,ZHAO D,et al.Coastal phytoplankton blooms expand and intensify in the 21st century[J].Nature,2023,615(7951):280-284.
[10]	DAI S,ZHOU Y,LI N,et al.Why do red tides occur frequently in some oligotrophic waters?Analysis of red tide evolution history in Mirs Bay,China,and its implications[J].Sci Total Environ,2022,844:157112.
[11]	贾淇文,章桂芳,唐世林,等.2013—2018年珠江河口伶仃洋水域悬浮泥沙季节性变化分析[J].中山大学学报(自然科学版),2021,60(5 ):59-71.
[12]	陈炜婷,姜广甲,邓伟,等.基于GIS的2001—2020年广东近岸海域赤潮时空分布[J].环境工程,2023,41(增刊2):49-53.
[13]	曾丹娜,牛丽霞,陶伟,等.夏季珠江口水域营养盐分布特征及其富营养化评价[J].广东海洋大学学报,2020,40(3):73-82.
[14]	邹伟,朱广伟,蔡永久,等.综合营养状态指数(TLI) 在夏季长江中下游湖库评价中的局限及改进意见[J].湖泊科学,2020,32(1):36-47.
[15]	CHANG N B,XUAN Z M,and YANG Y J,Exploring spatiotemporal patterns of phosphorus concentrations in a coastal bay with MODIS images and machine learning models[J].Remote Sensing of Environment,2013,134:100-110.
[16]	WANG R,WU J J,YIU K F,et al.Long-term variation in phytoplankton assemblages during urbanization:a comparative case study of Deep Bay and Mirs Bay,Hong Kong,China[J].Science of Total Environment,2020,745:140993.
[17]	DAI S L,ZHOU Y Y,LI N,et al.Why do red tides occur frequently in some oligotrophic waters?Analysis of red tide evolution history in Mirs Bay,China and its implications[J].Science of the Total Environment,2022,844:157112.
[18]	张伟,孙健,聂红涛,等.珠江口及毗邻海域营养盐对浮游植物生长的影响[J].生态学报,2015,35(12):4034-4044.
[19]	SHI K,ZHANG Y,SONG K,et al.A semi-analytical approach for remote sensing of trophic state in inland waters:bio-optical mechanism and application[J].Remote Sensing of Environment,2019,232:111349.
[20]	周博天,张雅燕,和施坤.湖泊营养状态遥感评价及其表征参数反演算法研究进展[J].遥感学报,2022,26(1):77-91.
[21]	袁伟皓,王华,曾一川,等.大型通江湖泊藻类增殖驱动要素的时空分异特征[J].环境工程,2021,39(10):64-71 ,128.